Journal ArticleDOI
Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform.
TLDR
A graph-based redundant wavelet transform is introduced to sparsely represent magnetic resonance images in iterative image reconstructions and outperforms several state-of-the-art reconstruction methods in removing artifacts and achieves fewer reconstruction errors on the tested datasets.About:
This article is published in Medical Image Analysis.The article was published on 2016-01-01. It has received 150 citations till now. The article focuses on the topics: Iterative reconstruction & Wavelet transform.read more
Citations
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Proceedings ArticleDOI
Elimination of Impulsive Disturbance based on Nonconvex Regularization
TL;DR: Two improved solvers based on block coordinate descent (BCD) and alternative direction method of multipliers (ADMM) frameworks are developed by utilizing the principle of the reweighted recursive least squares.
Locally Weighted Fitting Algorithm
Yuelin Wu,Donghong Li,Fan Feng +2 more
TL;DR: In this paper , image quality evaluation based on local Gaussian weighted fusion and image collocation is used for restoration of precious cultural relics and images to realize their cultural values, in view of the current problems such as damage caused by a large number of precious paintings due to improper preservation and other problems.
Journal ArticleDOI
Evaluation of Cultural Value Validity of Digital Media Art Based on Locally Weighted Fitting Algorithm
Yuelin Wu,Donghong Li,Fan Feng +2 more
TL;DR: In this paper , image quality evaluation based on local Gaussian weighted fusion and image collocation for restoration of precious cultural relics and images to realize their cultural values, in view of the current problems such as damage caused by a large number of precious paintings due to improper preservation and other problems.
Proceedings ArticleDOI
Magnetic resonance image reconstruction based on graph convolutional Unet network
TL;DR: Wang et al. as discussed by the authors proposed graph convolutional unet (GCN-Unet) for MRI image reconstruction, where non-local information with self-similarity is represented by a patch graph extracted from MRI images.
Journal ArticleDOI
Study on Key Technologies of Virtual Interactive Surgical Simulation for 3D Reconstruction of Medical Images
TL;DR: VxWorks embedded real-time process feature is used for CT or MRI DICOM data to real restoration and establishment of virtual three-dimensional model for realizing volume reconstruction, maximum density projection, multiplane reconstruction and dynamic interactive cutting of any surface.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Book
Introduction to Algorithms
TL;DR: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures and presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers.
Journal ArticleDOI
$rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
TL;DR: A novel algorithm for adapting dictionaries in order to achieve sparse signal representations, the K-SVD algorithm, an iterative method that alternates between sparse coding of the examples based on the current dictionary and a process of updating the dictionary atoms to better fit the data.
Journal ArticleDOI
An Iterative Thresholding Algorithm for Linear Inverse Problems with a Sparsity Constraint
TL;DR: It is proved that replacing the usual quadratic regularizing penalties by weighted 𝓁p‐penalized penalties on the coefficients of such expansions, with 1 ≤ p ≤ 2, still regularizes the problem.